MIMIC-IV-Note: Deidentified free-text clinical notes|临床自然语言处理数据集|医疗数据数据集

The advent of large, open access text databases has driven advances in state-
of-the-art model performance in natural language processing (NLP). The
relatively limited amount of clinical data available for NLP has been cited as
a significant barrier to the field's progress. Here we describe MIMIC-IV-Note:
a collection of deidentified free-text clinical notes for patients included in
the MIMIC-IV clinical database. MIMIC-IV-Note contains 331,794 deidentified
discharge summaries from 145,915 patients admitted to the hospital and
emergency department at the Beth Israel Deaconess Medical Center in Boston,
MA, USA. The database also contains 2,321,355 deidentified radiology reports
for 237,427 patients. All notes have had protected health information removed
in accordance with the Health Insurance Portability and Accountability Act
(HIPAA) Safe Harbor provision. All notes are linkable to MIMIC-IV providing
important context to the clinical data therein. The database is intended to
stimulate research in clinical natural language processing and associated
areas.